Agricultural productivity remains pivotal to the sustenance of the economies and livelihoods of Sub-Saharan Africa (SSA) countries. Given the emerging threat of energy and environmental uncertainties globally, this study makes a foray into understanding the link among energy poverty, environmental degradation and agricultural productivity in 35 SSA nations in particular, and the nature of their impacts across the sub-region constituents namely; the Central, Eastern, Western and Southern sub-regional blocs in general. To begin, our identified variables comprised of the following: Energy Poverty Index, derived using the principal component analysis, agricultural value added as a share of GDP served as a measure of agricultural productivity and ecological footprint to represent environmental degradation. Subsequently, the instrumental variable generalized method of moment (IV‐GMM) technique was implemented for the aggregate SSA model, while the IV-two stage least square technique was adopted for the sub-regional estimations for the Central, East, West and South African blocs respectively. Major findings from the SSA model revealed that whereas the index of energy poverty has a significant positive influence, ecological footprint exhibited an inverse and significant impact on agricultural productivity, while the Central, East, West and South African models yielded mixed results given regional disparities in economic development, regional variations in agricultural productivity and an imbalance of available resources. Policy recommendations were suggested to, among other things, transform the energy, environmental and agricultural fortunes of the region.

The increasing human activities amidst competition for resources across the globe has made environmental challenges an ongoing classic problem, thus prompting policymakers to continually seek effective solution while ensuring sustainable development. With the wide coverage of the relevance of the double dividend hypothesis in explaining the co-benefit of environmental tax, there is a dearth of evidence in the literature to suggest that environmental tax offers green dividends for both the environment and agricultural practice in the European countries. As such, this study employed the more recent Method of Moments Quantile Regression (MMQR) alongside other approaches for Europe's largest agrarian economies (France, Germany, Italy, and Spain) over the annual period 1995-2020. The investigation affirms the validity of the co-benefit of environmental tax as far as environmental sustainability and value-added to agriculture are concerned in this panel of 'Big Four' economies, thus motivating the countries to relentlessly pursue the carbon-neutral 2050 target. Moreover, the study aligns with the expectation that renewable energy utilization and population density are desirable factors for achieving a carbon-neutral target. Lastly, the findings suggest that environmental quality is attainable in the panel, especially as increasing income surpasses a certain threshold, thus validating the environmental Kuznets curve hypothesis. Above all, the findings provide timely policy insight that accommodates both the environmental sustainability and food security framework of the European Union. The policy options relevant in light of the study's conclusions include that the decision makers in the selected agrarian economies should ramp up energy transition opportunities through a resilient environmental tax system that incentives availability of credit and investment financing in the agriculture sector.